Argenia Solar and Wireless Wheel Detection, Axle Counting and Level Crossings
The Argenia Solar+Wireless digital wheel sensor is a state-of-the-art, microprocessor-controlled, digitising wheel sensor for urban rail, mainline and train yard applications. It is the only wheel sensor on the market with solar and wireless capabilities.
Using dual sensors, Argenia’s system can detect train speeds of up to 320km/h within 0.2%, and its unique majority logic configurations minimise miscounts.
Fail-safe axle counting systems for the railway industry
Designed to meet CENELEC SIL4 safety standards, Argenia’s axle counting systems are fail-safe. CENELEC certification is in progress.
The company’s wheel sensors do not interfere with track circuits or other vital systems, and Argenia provides a virtual train simulation mode for easy self-test and diagnostics, enabling safe train detection with any ballast condition.
Reliable, low-power train wheel detection
Argenia’s wheel sensors are low-power and are ideal for solar-powered operation.
Sensors and electronics are protected from electromagnetic compatibility (EMC), electromagnetic interference (EMI), lightning, UV and shock, according to the American Railway Engineering and Maintenance-of-Way Association (AREMA).
The company’s axle counting systems use pre-data and post-data processing for more reliable wheel detection with fewer resets.
Sensitive electronics are mounted on the wayside away from the vibrations on the track. Planar printed circuit board (PCB) magnetic design of the sensor coils enables a lightweight, lower profile sensor without a fragile ferrite core.
Accurate train detection sensors
Wheel sensors can be paired to provide speed detection to 0.2% accuracy up to 320km/h. Sensors can be mounted to detect all wheel flange sizes. Using a customised algorithm, axle counting corrects for miscounts from truck-mounted motors and brakes.
Argenia’s patent-pending majority logic correction corrects for one wheel miscount in a block. The company has a configurable detection threshold to adjust sensitivity.
Configurable wheel sensors and systems
Argenia’s software optimises hysteresis to improve noise margins.
The company can adjust pulse discrimination to reject extraneous pulses and adjust filter response to improve noise margins. Sensor separation is entered into the system to ensure high-accuracy with speed measurement, and sensor addresses are set to a 32-bit address using dip switches.
Axle counting systems for block occupancy
Detecting the occupancy of track blocks is one of the primary applications of wheel sensors. Sensors are fastened to the rail at the check-in and check-out points at either end of a section of track creating a ‘block’.
The wheel counter unit (WCU) collects waveforms from the sensors and sends digital data to the system controller (SYS) for processing. The SYS counts the axles of the train as it enters the block, and again as it leaves, based on the output of the sensors. The SYS will indicate that the block is ‘occupied’ when the first axle passes the check-in point.
Once the SYS has counted the same number of axles leaving the check-out point as it counted at the check-in, the block is deemed vacant and safe for another train to enter.
Axle counters for CBTC backup
Axle counting-based block occupancy systems are used as an alternative to fixed blocks handled with track circuits.
They are also an efficient and effective backup solution for more sophisticated moving block systems common with communications-based train control (CBTC).
Wheel detection for level crossing activation
Wheel sensors are used at the ‘farpoints’ of the approaches (typically 4,000ft from the crossing), ‘nearpoints’ (approximately 2,000ft away), and at the ‘island circuit’ of the crossing (roughly 200ft on each side of the road). Additional wheel detection points may be used to monitor switches or multiple track systems where required.
Two wheel sensors are placed 6ft apart at each detection point to compensate for variations in the depth and position of the wheel flange. This creates space and time diversity, which mitigates wheel hunting, electrical noise, and vibrations to ensure both wheels of the axle are counted.
As wheels are counted by the two separated sensors, the speed is measured highly accurately. Train position is calculated based on the speed-time integration, allowing the calculation of the progression into the crossing zone. This provides a constant warning time of 25s for any train speed.
Crossings are available in multiple configurations for varying conditions, budgets and timelines.
Axle counters for switch protection in marshalling yards
Freight cars can spend up to two thirds of their transit time sitting idle in yards. Yard management optimisation systems significantly increase throughput, which increases the profitability of a route.
Wheel sensors are ideal for tracking the movement of rolling stock in yards. They are fastened to the rail at the entry points of each track segment where they detect cars as the come in. Data from the sensors is sent to yard automation systems that assist with the sorting of stock.
Argenia has been developing control systems for the rail industry for more than ten years.
The company’s founder developed the first railway wheel sensors in North America and sold the patent to L B Foster. Its next-generation wheel sensors and axle counting systems are the most sophisticated and configurable on the market.
Argenia is based in Toronto, Canada, and serves companies worldwide.
Products and Services
rgenia Railway Technologies will be exhibiting at AusRail Plus 2015 in Melbourne from 24th November to 26th Novemberh. Visit Stand 176 and get a firsthand look at their cutting edge sensors and electronics.Read more
Argenia Railway Technologies will be exhibiting their solar+wireless axle counter and crossing controller systems at the Railway Interchange show in Minneapolis MN from 4th October until 7th October.Read more
Ferrocarril Del Pacifico (FDP) has launched the first of 22 automatic grade crossings at Avenida 4 Norte and Calle 52 in Cali, Colombia.Read more